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Combining Nonoverlap and Trend for Single-Case …
Author's personal copyCombining Nonoverlap and Trend for Single-Case Research: Tau-URichard I. ParkerKimberly J. VannestJohn L. DavisStephanie B. SauberTexas A&M University at College StationA new index for analysis of Single-Case research data wasproposed, Tau-U, which combines Nonoverlap betweenphases with Trend from within the intervention phase. Inaddition, it provides the option of controlling undesirablePhase A Trend . The derivation of Tau-U from Kendall'sRank Correlation and the Mann-Whitney U test betweengroups is demonstrated.
Author's personal copy Combining Nonoverlap and Trend for Single-Case Research: Tau-U Richard I. Parker Kimberly J. Vannest John L. Davis Stephanie B. Sauber
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